com.google.api.services.dlp.v2.model

Class GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.dlp.v2.model.GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails
extends GenericJson

Result of a risk analysis operation request.

This is the Java data model class that specifies how to parse/serialize into the JSON that is transmitted over HTTP when working with the Cloud Data Loss Prevention (DLP) API. For a detailed explanation see: https://developers.google.com/api-client-library/java/google-http-java-client/json

Author:

Google, Inc.

Nested Class Summary

Nested classes/interfaces inherited from class com.google.api.client.util.GenericData

GenericData.Flags

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K,V>

Constructor Summary

Constructors

Constructor and Description
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails()

Method Summary

Modifier and Type	Method and Description
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	clone()
GooglePrivacyDlpV2CategoricalStatsResult	getCategoricalStatsResult() Categorical stats result
GooglePrivacyDlpV2DeltaPresenceEstimationResult	getDeltaPresenceEstimationResult() Delta-presence result
GooglePrivacyDlpV2KAnonymityResult	getKAnonymityResult() K-anonymity result
GooglePrivacyDlpV2KMapEstimationResult	getKMapEstimationResult() K-map result
GooglePrivacyDlpV2LDiversityResult	getLDiversityResult() L-divesity result
GooglePrivacyDlpV2NumericalStatsResult	getNumericalStatsResult() Numerical stats result
GooglePrivacyDlpV2RequestedRiskAnalysisOptions	getRequestedOptions() The configuration used for this job.
GooglePrivacyDlpV2PrivacyMetric	getRequestedPrivacyMetric() Privacy metric to compute.
GooglePrivacyDlpV2BigQueryTable	getRequestedSourceTable() Input dataset to compute metrics over.
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	set(String fieldName, Object value)
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	setCategoricalStatsResult(GooglePrivacyDlpV2CategoricalStatsResult categoricalStatsResult) Categorical stats result
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	setDeltaPresenceEstimationResult(GooglePrivacyDlpV2DeltaPresenceEstimationResult deltaPresenceEstimationResult) Delta-presence result
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	setKAnonymityResult(GooglePrivacyDlpV2KAnonymityResult kAnonymityResult) K-anonymity result
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	setKMapEstimationResult(GooglePrivacyDlpV2KMapEstimationResult kMapEstimationResult) K-map result
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	setLDiversityResult(GooglePrivacyDlpV2LDiversityResult lDiversityResult) L-divesity result
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	setNumericalStatsResult(GooglePrivacyDlpV2NumericalStatsResult numericalStatsResult) Numerical stats result
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	setRequestedOptions(GooglePrivacyDlpV2RequestedRiskAnalysisOptions requestedOptions) The configuration used for this job.
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	setRequestedPrivacyMetric(GooglePrivacyDlpV2PrivacyMetric requestedPrivacyMetric) Privacy metric to compute.
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails	setRequestedSourceTable(GooglePrivacyDlpV2BigQueryTable requestedSourceTable) Input dataset to compute metrics over.

Methods inherited from class com.google.api.client.json.GenericJson

getFactory, setFactory, toPrettyString, toString

Methods inherited from class com.google.api.client.util.GenericData

entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap

clear, containsKey, containsValue, isEmpty, keySet, size, values

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

Constructor Detail

GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails()

Method Detail

getCategoricalStatsResult

public GooglePrivacyDlpV2CategoricalStatsResult getCategoricalStatsResult()

Categorical stats result

Returns:

value or null for none

setCategoricalStatsResult

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails setCategoricalStatsResult(GooglePrivacyDlpV2CategoricalStatsResult categoricalStatsResult)

Categorical stats result

Parameters:

categoricalStatsResult - categoricalStatsResult or null for none

getDeltaPresenceEstimationResult

public GooglePrivacyDlpV2DeltaPresenceEstimationResult getDeltaPresenceEstimationResult()

Delta-presence result

Returns:

value or null for none

setDeltaPresenceEstimationResult

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails setDeltaPresenceEstimationResult(GooglePrivacyDlpV2DeltaPresenceEstimationResult deltaPresenceEstimationResult)

Delta-presence result

Parameters:

deltaPresenceEstimationResult - deltaPresenceEstimationResult or null for none

getKAnonymityResult

public GooglePrivacyDlpV2KAnonymityResult getKAnonymityResult()

K-anonymity result

Returns:

value or null for none

setKAnonymityResult

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails setKAnonymityResult(GooglePrivacyDlpV2KAnonymityResult kAnonymityResult)

K-anonymity result

Parameters:

kAnonymityResult - kAnonymityResult or null for none

getKMapEstimationResult

public GooglePrivacyDlpV2KMapEstimationResult getKMapEstimationResult()

K-map result

Returns:

value or null for none

setKMapEstimationResult

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails setKMapEstimationResult(GooglePrivacyDlpV2KMapEstimationResult kMapEstimationResult)

K-map result

Parameters:

kMapEstimationResult - kMapEstimationResult or null for none

getLDiversityResult

public GooglePrivacyDlpV2LDiversityResult getLDiversityResult()

L-divesity result

Returns:

value or null for none

setLDiversityResult

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails setLDiversityResult(GooglePrivacyDlpV2LDiversityResult lDiversityResult)

L-divesity result

Parameters:

lDiversityResult - lDiversityResult or null for none

getNumericalStatsResult

public GooglePrivacyDlpV2NumericalStatsResult getNumericalStatsResult()

Numerical stats result

Returns:

value or null for none

setNumericalStatsResult

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails setNumericalStatsResult(GooglePrivacyDlpV2NumericalStatsResult numericalStatsResult)

Numerical stats result

Parameters:

numericalStatsResult - numericalStatsResult or null for none

getRequestedOptions

public GooglePrivacyDlpV2RequestedRiskAnalysisOptions getRequestedOptions()

The configuration used for this job.

Returns:

value or null for none

setRequestedOptions

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails setRequestedOptions(GooglePrivacyDlpV2RequestedRiskAnalysisOptions requestedOptions)

The configuration used for this job.

Parameters:

requestedOptions - requestedOptions or null for none

getRequestedPrivacyMetric

public GooglePrivacyDlpV2PrivacyMetric getRequestedPrivacyMetric()

Privacy metric to compute.

Returns:

value or null for none

setRequestedPrivacyMetric

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails setRequestedPrivacyMetric(GooglePrivacyDlpV2PrivacyMetric requestedPrivacyMetric)

Privacy metric to compute.

Parameters:

requestedPrivacyMetric - requestedPrivacyMetric or null for none

getRequestedSourceTable

public GooglePrivacyDlpV2BigQueryTable getRequestedSourceTable()

Input dataset to compute metrics over.

Returns:

value or null for none

setRequestedSourceTable

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails setRequestedSourceTable(GooglePrivacyDlpV2BigQueryTable requestedSourceTable)

Input dataset to compute metrics over.

Parameters:

requestedSourceTable - requestedSourceTable or null for none

set

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails set(String fieldName,
                                                          Object value)

Overrides:

set in class GenericJson

clone

public GooglePrivacyDlpV2AnalyzeDataSourceRiskDetails clone()

Overrides:

clone in class GenericJson